Implementation of various reinforcement learning algorithms in examples obtained from the book "Reinforcement Learning: An Introduction, by Sutton and Barto".
-
Updated
Feb 7, 2022 - MATLAB
#
cliff-walking-problem
Here are 3 public repositories matching this topic...
This repo implements Deep Q-Network (DQN) for solving the Cliff Walking v0 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 with the finest tuning.
python reinforcement-learning deep-learning deep-reinforcement-learning q-learning pytorch dqn gym deep-q-network gymnasium drl deep-q-learning cliffwalking drl-pytorch cliff-walking-problem
-
Updated
Mar 19, 2024 - Python
Implementation of Q-learning and SARSA algorithms in the Cliff Walking environment. Explore and compare reinforcement learning techniques.
-
Updated
Aug 25, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the cliff-walking-problem topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the cliff-walking-problem topic, visit your repo's landing page and select "manage topics."